ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.01529
  4. Cited By
Minimax Optimal Regression over Sobolev Spaces via Laplacian
  Regularization on Neighborhood Graphs

Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs

3 June 2021
Alden Green
Sivaraman Balakrishnan
R. Tibshirani
ArXivPDFHTML

Papers citing "Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs"

4 / 4 papers shown
Title
Understanding the Effect of GCN Convolutions in Regression Tasks
Understanding the Effect of GCN Convolutions in Regression Tasks
Juntong Chen
Johannes Schmidt-Hieber
Claire Donnat
Olga Klopp
GNN
31
0
0
26 Oct 2024
Skeleton Regression: A Graph-Based Approach to Estimation with Manifold
  Structure
Skeleton Regression: A Graph-Based Approach to Estimation with Manifold Structure
Zeyu Wei
Yen-Chi Chen
32
0
0
19 Mar 2023
A Unified Analysis of Multi-task Functional Linear Regression Models
  with Manifold Constraint and Composite Quadratic Penalty
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty
Shiyuan He
Hanxuan Ye
Kejun He
23
0
0
09 Nov 2022
A Spectral Series Approach to High-Dimensional Nonparametric Regression
A Spectral Series Approach to High-Dimensional Nonparametric Regression
Ann B. Lee
Rafael Izbicki
BDL
AI4TS
119
37
0
01 Feb 2016
1